Arian Skoki successfully defended his doctoral thesis “Data-Driven Assessment of Player Performance and Recovery in Soccer” (Procjena karakteristika i oporavka igrača u nogometu zasnovana na podatcima) on April 7, 2025. His research introduces innovative approaches to soccer analytics by leveraging minute-by-minute wearable sensor data, cognitive load measurements, and machine learning to uncover new insights into player fitness, motivation, and post-injury recovery. The study advances injury management by developing predictive ML models for recovery duration and creates individualized fatigue profiles to optimize training and reduce re-injury risks. These findings provide coaches and sports scientists with data-driven tools to enhance performance monitoring, workload management, and return-to-play decision-making throughout the competitive season.
